Title: Switching Hamiltonian Monte Carlo for sampling from mixture distributions
Abstract: To effectively sample from mixture distributions, we introduce a switching mechanism into Hamiltonian Monte Carlo dynamics. By formulating the resulting dynamics as a hybrid jump stochastic differential equation, we propose splitting-based numerical schemes for discretization. We analyze the discretization error and establish second-order convergence bounds with respect to the step size. Finally, we validate the theoretical results through numerical experiments.